Training in progress epoch 3

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.4817
-- Validation Loss: 0.8242
-- Train Accuracy: 0.7204
-- Epoch: 2
+- Train Loss: 0.3329
+- Validation Loss: 0.9015
+- Train Accuracy: 0.7125
+- Epoch: 3
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 | 0.8331     | 0.7299          | 0.7267         | 0     |
 | 0.6364     | 0.7134          | 0.7346         | 1     |
 | 0.4817     | 0.8242          | 0.7204         | 2     |
+| 0.3329     | 0.9015          | 0.7125         | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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 size 267961112